Classification of primary dysmenorrhea by brain effective connectivity of the amygdala: a machine learning study-Reference-Cited by-同舟云学术

Classification of primary dysmenorrhea by brain effective connectivity of the amygdala: a machine learning study

Published:2022-10-18 Issue:6 Volume:16 Page:2517-2525
ISSN:1931-7557
Container-title:Brain Imaging and Behavior
language:en
Short-container-title:Brain Imaging and Behavior

Author:

Yu Siyi,Liu Liying,Chen Ling,Su Menghua,Shen Zhifu,Yang Lu,Li Aijia,Wei Wei,Guo Xiaoli,Hong Xiaojuan,Yang Jie^ORCID

Funder

China National Postdoctoral Program

National Natural Science Foundation of China

the Science and Technology Support Program of Nanchong

the Doctoral Scientific Research Foundation of North Sichuan Medical College

Publisher

Springer Science and Business Media LLC

Subject

Behavioral Neuroscience,Psychiatry and Mental health,Cellular and Molecular Neuroscience,Neurology (clinical),Cognitive Neuroscience,Neurology,Radiology, Nuclear Medicine and imaging

Link

https://link.springer.com/content/pdf/10.1007/s11682-022-00707-9.pdf

Reference55 articles.

1. Allen, H. N., Bobnar, H. J., & Kolber, B. J. (2021). Left and right hemispheric lateralization of the amygdala in pain. Progress in Neurobiology, 196, 101891. https://doi.org/10.1016/j.pneurobio.2020.101891

2. Baajour, S. J., Chowdury, A., Thomas, P., Rajan, U., Khatib, D., Zajac-Benitez, C., … & Diwadkar, V. A. (2020). Disordered directional brain network interactions during learning dynamics in schizophrenia revealed by multivariate autoregressive models. Human Brain Mapping, 41(13), 3594–3607. https://doi.org/10.1002/hbm.25032

3. Boissoneault, J., Sevel, L., Letzen, J., Robinson, M., & Staud, R. (2017). Biomarkers for musculoskeletal pain conditions: Use of brain imaging and machine learning. Current Rheumatology Reports, 19(1), 5. https://doi.org/10.1007/s11926-017-0629-9

4. Burnett, M., & Lemyre, M. (2017). No. 345-primary dysmenorrhea consensus guideline. Journal of obstetrics and gynaecology Canada : JOGC = Journal d'obstetrique et gynecologie du Canada : JOGC, 39(7), 585–595. https://doi.org/10.1016/j.jogc.2016.12.023

5. Burnett, M. A., Antao, V., Black, A., Feldman, K., Grenville, A., Lea, R., … Robert, M. (2005). Prevalence of Primary Dysmenorrhea in Canada. Journal of Obstetrics and Gynaecology Canada, 27(8), 765–770. https://doi.org/10.1016/S1701-2163(16)30728-9

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neuroimage analysis using artificial intelligence approaches: a systematic review;Medical & Biological Engineering & Computing;2024-04-26